F
licenseNot graded
qualityD
maintenanceEnables AI models to interact with YouTube content through 18 MCP tools for videos, transcripts, channels, and playlists.
16 npm
-
vlearn
by MRSogzz
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- AlicenseNot gradedqualityCmaintenanceLets agents watch public YouTube videos and answer questions about their audio and visuals, using Gemini for transcript-aware or fixed-frame analysis.1MIT
- FlicenseNot gradedqualityAmaintenanceEnables users to ingest YouTube videos into a persistent, cross-referenced knowledge base by extracting transcripts, analyzing scene-change frames with vision models, and providing agentic search and cited answers through MCP clients like Claude and Copilot.-
- AlicenseNot gradedqualityFmaintenanceGives MCP clients access to YouTube video transcripts and metadata. It lets AI agents read and summarize video content from a URL.7 npmMIT
- AlicenseBqualityBmaintenanceEnables AI agents to control a YouTube channel end-to-end by uploading videos, editing metadata, managing playlists, moderating comments, and reading analytics through MCP tools.20MIT
- AlicenseNot gradedqualityDmaintenanceFetches YouTube video transcripts with timestamps and provides them to LLM agents via MCP, enabling natural language access to video content.91 npm4MIT
TDQS
C2.7/5.0
Scored across 15 tools
Disambiguation4/5
Most tools map to a distinct resource plus action (ingest, analyze, poll job, report, conflicts, cost, correction). The only real overlap is preview_keyframe_selection vs. preview_keyframe_selection_seek, which are near-duplicates split by local vs. remote scenario; the descriptions differentiate them but the boundary requires reading carefully.
Naming Consistency4/5
Names are overwhelmingly verb-first snake_case (get_report, list_videos, ingest_video, analyze_video, submit_correction, read_frame_at), giving a predictable pattern. Minor deviations: list_trend_top inverts the noun/qualifier order, and import_trend_csv embeds the object, but nothing is genuinely chaotic.
Tool Count5/5
15 tools sit at the top of the well-scoped range and each covers a step in the ingest → analyze → poll → report → correct pipeline, plus trend and cost views. No tool looks redundant except the deliberate preview pair.
Completeness3/5
The core lifecycle (ingest, async analyze, job polling, report, conflicts, correction) is covered, so no dead end in the main flow. However there is no way to delete or re-ingest a video, list/cancel running jobs, or enumerate available reports, and trend data can only be imported and read as top-n with no query or update path.
Maintenance
ActivityMaintained
ResponsivenessNo issues